Quality aware image transmission over underwater multimedia sensor networks

Sarisaray-Boluk, Pinar; Güngör, Vehbi Çağrı; Baydere, Şebnem; Harmanci, A. Emre

doi:10.1016/j.adhoc.2011.02.007

Cited by 22 publications

(10 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the practical implementation of these currently designed and envisioned applications directly depends on reliability and quality-aware communication capabilities of the deployed UMSNs. Comprehensive performance evaluation of error concealment and error correction algorithms for quality-aware image transmission over UMSNs is reported in [99].…”

Section: Multicarrier Communication For Image and Video Transmission Ovmentioning

confidence: 99%

Review Article: Multicarrier Communication for Underwater Acoustic Channel

Esmaiel

Jiang

2013

IJCNS

View full text Add to dashboard Cite

In past decades, there has been a growing interest in the discussion and study of using underwater acoustic channel as the physical layer for communication systems, ranging from point-to-point communications to underwater multicarrier modulation networks. A series of review papers were already available to provide a history of the development of the field until the end of the last decade. In this paper, we attempt to provide an overview of the key developments, both theoretical and applied, in the particular topics regarding multicarrier communication for underwater acoustic communication such as the channel and Doppler shift estimation, video and image transmission throw multicarrier techniques, etc. This paper also includes acoustic propagation properties in seawater and underwater acoustic channel representation.

show abstract

Section: Multicarrier Communication For Image and Video Transmission Ovmentioning

confidence: 99%

Review Article: Multicarrier Communication for Underwater Acoustic Channel

Esmaiel

Jiang

2013

IJCNS

View full text Add to dashboard Cite

show abstract

“…UAC models help fulfill the real-time requirements of transmissions and analyze their bit error rates (BERs) for underwater multimedia signals in UAMC systems. Underwater imaging sensors, and underwater multimedia sensor networks (UMSNs) can be utilized for underwater explorations and environmental monitoring [2]. Reliable transmission and communication of underwater images are important features to be considered in the design of UMSNs.…”

Section: Introductionmentioning

confidence: 99%

Direct-Mapping-Based MIMO-FBMC Underwater Acoustic Communication Architecture for Multimedia Signals

Lin

Chang

et al. 2019

Applied Sciences

View full text Add to dashboard Cite

In this paper, a direct-mapping (DM)-based multi-input multi-output (MIMO) filter bank multi-carrier (FBMC) underwater acoustic multimedia communication architecture (UAMCA) is proposed. The proposed DM-based MIMO-FBMC UAMCA is rare and non-obvious in the underwater multimedia communication research topic. The following are integrated into the proposed UAMCA: A 2 × 2 DM transmission mechanism, a (2000, 1000) low-density parity-check code encoder, a power assignment mechanism, an object-composition petrinet mechanism, adaptive binary phase shift keying modulation and 4-offset quadrature amplitude modulation methods. The multimedia signals include voice, image, and data. The DM transmission mechanism in different spatial hardware devices transmits different multimedia packets. The proposed underwater multimedia transmission power allocation algorithm (UMTPAA) is simple, fast, and easy to implement, and the threshold transmission bit error rates (BERs) and real-time requirements for voice, image, and data signals can be achieved using the proposed UMTPAA. The BERs of the multimedia signals, data symbol error rates of the data signals, power saving ratios of the voice, image and data signals, mean square errors of the voice signals, and peak signal-to-noise ratios of the image signals, for the proposed UAMCA with a perfect channel estimation, and channel estimation errors of 5%, 10%, and 20%, respectively, were explored and demonstrated. Simulation results demonstrate that the proposed 2 × 2 DM-based MIMO-FBMC UAMCA is suitable for low power and high speed underwater multimedia sensor networks.

show abstract

“…A few study considers the multimedia characteristics during communication in WMSN [8], [12], [14]. These studies present that quality and context aware adaptive network layer protocols provide to achieve the required quality of service.…”

Section: Introductionmentioning

confidence: 99%

IQAR: Image quality aware routing for Wireless Multimedia Sensor Networks

Boluk

Irgan

Baydere

et al. 2011

2011 7th International Wireless Communications and Mobile Computing Conference

View full text Add to dashboard Cite

Wireless Multimedia Sensor Networks (WMSN) have an increasing variety of multimedia based applications including image and video transmission. In these types of applications, multimedia sensor nodes should ideally maximize perceptual quality and minimize energy expenditures in communication. To obtain the required perceptual quality, quality of service (QoS) support is needed at the network level. However, mapping the network parameters to the end-user's perceptual quality measures during building paths is a challenging task due to incomplete identification metrics. In this paper, we propose Image Quality Aware Routing (IQAR) for WMSN that introduces the concept of image quality awareness by considering energy issue. The proposed approach employs intra-image prioritization and an adaptive path selection scheme that adjusts reliability level during image transmission using a distortion prediction model.

show abstract

Quality aware image transmission over underwater multimedia sensor networks

Cited by 22 publications

References 26 publications

Review Article: Multicarrier Communication for Underwater Acoustic Channel

Review Article: Multicarrier Communication for Underwater Acoustic Channel

Direct-Mapping-Based MIMO-FBMC Underwater Acoustic Communication Architecture for Multimedia Signals

IQAR: Image quality aware routing for Wireless Multimedia Sensor Networks

Contact Info

Product

Resources

About